Scout InsurTech Interview with Linqura

Linqura is an advanced AI Company. They seek to revolutionize how insurance is bought and sold. Michael Fiedel sat with CMO, Ryan Hanley, to learn more about how Linqura is impacting the industry.

Who are your clients?

We serve two primary groups. First, independent agents who use our platform to enhance their commercial lines production capabilities. Our product makes every agent a specialist on any commercial account, guiding them step-by-step to close deals confidently.

Second, we provide private AI models for middle-market agencies and enterprise-level companies. These include E&S brokers, network aggregators and even carriers. Essentially, we enable organizations to safely and securely leverage AI to enhance their operations, with multi-agent and multi-AI algorithm functionality that learns from their activities.

What does your product do?

At its core, Linqura is an AI platform, not just a chatbot layered on top of popular large language models like OpenAI or Claude. We believe shared, large-scale data models aren’t the answer for industries that require high levels of privacy and security.

Our platform integrates third-party "point of truth" data with firmographic records for 40 million businesses and combines it with our clients’ proprietary data. This creates a comprehensive window into insights that help agents research, analyze and make data-driven decisions with speed and accuracy. For enterprise clients, we offer API access to integrate our platform into their operations.

How much capital have you raised?

We’ve raised $1.5 million through two angel investment rounds.

Was the company born from within or outside the insurance industry?

Linqura was born from within the insurance industry. Our co-founders bring a combined 80 years of experience in the sector. Mark Stender, our CEO, has held senior roles in digital innovation and data integration for major players like Travelers and Prudential. Our other Co-founder, Euan King, has spent four decades on the vendor side, selling into the insurance space. My own 20 years in the industry and experience on the retail side further root us in its core challenges and needs. 

What growth metrics have you accomplished over the last 12 months?

We did a soft launch in October 2024, and within six weeks, we onboarded over 20 agencies and initiated six major POCs (Proof of Concept) for enterprise-level AI integrations. These LinqPlatform" deals involve hosting private AI models for our partners, delivering tailored functionality directly into their workflows. This rapid growth highlights the demand for our innovative approach.

Within your domain, what is the current challenge the industry is facing?

The biggest challenge is the inability to create actionable outcomes from existing data.

While there are plenty of data tools—spreadsheets, lead databases, information repositories—they are siloed and don’t interact seamlessly. This fragmentation makes it difficult to generate insights that lead to meaningful action.

How does Linqura take a unique approach to providing value?

Linqura stands apart by focusing on private AI models rather than relying on generic large-scale data models.

We address this challenge by combining exclusive datasets, such as Rough Notes risk profiles, with firmographic information for 40 million businesses. By simply entering a business name and address, agents can access everything they need: risk profiles, coverage recommendations, OSHA violations, DOT records, commercial vehicle details, property risks and more.

For E&S brokers, as an example, we solve the problem of presenting the full portfolio of products available for a specific risk. Agents often don’t realize the range of coverage options, like E&O, that a broker can offer. Our system ensures they can see all relevant products for a given business, making it easier to close comprehensive deals. We call this a "Placement Engine."

What inspired the team to start the company?

While I’m not a founder, I was brought on as a board member shortly after the company was formed. I saw Linqura’s approach as a game-changer compared to the general reliance on generative AI widgets.

Can you share any goals for the next 12 months?

We aim to have 15 "LinqPlatform" deals fully operational within the next year. These will involve hosting private AI models for enterprises, integrating deeply into their workflows.

Additionally, we plan to onboard over 500 agents onto our “LinqCo-Pilot” platform, empowering them with the tools to excel in commercial accounts. Our overarching goal is to make every client’s dream of streamlined, AI-driven operations a reality while solidifying Linqura’s position as the go-to solution for private, scalable AI in the insurance industry.

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